---
language: en
tags:
- autotrain
datasets:
- lewtun/autotrain-data-acronym-identification
- acronym_identification
widget:
- text: I love AutoTrain 🤗
co2_eq_emissions: 10.435358044493652
model-index:
- name: autotrain-demo
  results:
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: acronym_identification
      type: acronym_identification
      args: default
    metrics:
    - type: accuracy
      value: 0.9708090976211485
      name: Accuracy
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: acronym_identification
      type: acronym_identification
      config: default
      split: train
    metrics:
    - type: accuracy
      value: 0.9790777669399117
      name: Accuracy
      verified: true
    - type: precision
      value: 0.9197835301644851
      name: Precision
      verified: true
    - type: recall
      value: 0.946479027789208
      name: Recall
      verified: true
    - type: f1
      value: 0.9329403493591477
      name: F1
      verified: true
    - type: loss
      value: 0.06360606849193573
      name: loss
      verified: true
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: acronym_identification
      type: acronym_identification
      config: default
      split: validation
    metrics:
    - type: accuracy
      value: 0.9758059763069488
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTE2M2JlMDBhNDVlMDNmMmUxYTllYTM3MTQyYWIyYmI4OWM4MWM2MDYzNWI5ZTY4YmE4ZTYxODYzNGY4ZTU4NSIsInZlcnNpb24iOjF9.lplj1GdLZOa7EQq_-eDkWMOndxM7I3JMInAPS8Lh1ym-6NZFe8HAVtPtw6uYE1kw3bYSFLiJeDhu17qr4W0LCQ
    - type: precision
      value: 0.9339528708927979
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYThjZDI5MTJjZDhmMzgxYmRlYmMxNjRhZTgyM2JkNmVjYWJiZmEyOTIxZDIzNTA0NWFiMmI0YjA0OWUwMmIzNyIsInZlcnNpb24iOjF9.ZGHY1xycw3oPLCswGga9vkSb-EIXjyf-euFLqPYh96B1N6LGRymo-r85cEwTp1Kr-uR6qVeUMrX2mmwL7O2wAw
    - type: recall
      value: 0.9157175398633257
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjk5Mzk3MzRlYjg2ZWNmOTZlN2QwZjQ2Y2ZlNzU2NzljODU1NmRmNWVjMmIxODdhZTE4NmQwYTNkY2E2MGZlZSIsInZlcnNpb24iOjF9.JShPPAdznEKVso15qYmJ9OcdiV_W4pE1wrHVZ_A_-bkhboIUATN-rXK2KZmfq1nS3Jxip3qn9GYeFxP9tGU0Dg
    - type: f1
      value: 0.924745317121262
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzlmMDM2ODVmYmEwMDJhZGI5MWI3NjRlNzEwMWYyY2NiMmQ0NjdkZjc2NzFiZmI3Y2VmYWM0MjlmYzFlN2E5NCIsInZlcnNpb24iOjF9.rpqmuMdlxFevTn374B5_eGMlAF79VVGhRIx3ksd2p-2_kHyhRwnjxqs5elQpH_tIHUGSIM49hLqAFi14EKGiAA
    - type: loss
      value: 0.07582829147577286
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjYzMDlmNzNiMmRlYmY0ODZhMWM0ZmI3ODJhNDRiM2E1YjczMzBlNDNjM2I2ODBiMzc5NDEzZGIxMjAzMWM2YiIsInZlcnNpb24iOjF9.G7UXqxGnqnfgdze04NsyRsO-SAqNXV81kK7Jp_SYjVP_4gbL0ovV9JDd3hk_h0pWSMVNjgFhI6cwZGXZLsTJBw
    - type: auc
      value: NaN
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWQyNGFiMDc1ZDgwNGQ5NjFmNzhmZDM4NTYwNzEyYzBhNDQxMzc2ZDczOGJhNWFhMGMwOWE4MTRhNTY3NGQxYiIsInZlcnNpb24iOjF9.WcXce6HBjzSEqOOJoVJU33kF-MjwVZj2a4OWuUd_GIv32NUJVueRWzzHdvUDI_KlPvvvamQJgqN-cCILFaTRAw
---

# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 7324788
- CO2 Emissions (in grams): 10.435358044493652

## Validation Metrics

- Loss: 0.08991389721632004
- Accuracy: 0.9708090976211485
- Precision: 0.8998421675654347
- Recall: 0.9309429854401959
- F1: 0.9151284109149278

## Usage

You can use cURL to access this model:

```
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/lewtun/autotrain-acronym-identification-7324788
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-acronym-identification-7324788", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
```